{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "来源参考地址：https://mp.weixin.qq.com/s/5qnpYJ4ZRpsuOwEOxp7ppQ"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<code>pip install pulp<br>\n",
    "pip install pandas-datareader<br>\n",
    "pip install PyPortfolioOpt\n",
    "</code>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import akshare as ak\n",
    "import pandas as pd\n",
    "from datetime import datetime,timedelta\n",
    "\n",
    "# 抽象出列名映射为独立的函数\n",
    "def column_name_mapping(df: pd.DataFrame, mapping: dict) -> pd.DataFrame:\n",
    "    df.rename(columns=mapping, inplace=True)\n",
    "    return df\n",
    "\n",
    "# 添加异常处理和参数校验逻辑\n",
    "def get_index_cons(symbol: str = \"000300\") -> pd.DataFrame:\n",
    "    try:\n",
    "        index_cons_df = ak.index_stock_cons_csindex(symbol)\n",
    "        return index_cons_df\n",
    "    except Exception as e:\n",
    "        print(f\"获取沪深300指数成分股失败：{e}\")\n",
    "        return pd.DataFrame()\n",
    "    \n",
    "# 日期和股票代码列名不应该被转换为datetime类型，因此移除相关转换代码\n",
    "def get_stock_a_hist(symbol: str, start_date: datetime, end_date: datetime, period: str=\"daily\", adjust: str = \"\") -> pd.DataFrame:\n",
    "    try:\n",
    "        start_date_str = start_date.strftime(\"%Y%m%d\")\n",
    "        end_date_str = end_date.strftime(\"%Y%m%d\")\n",
    "        stock_a_daily_df = ak.stock_zh_a_hist(symbol,period, start_date_str, end_date_str, adjust)\n",
    "        column_mapping = {\n",
    "            '日期': 'date',\n",
    "            '股票代码': 'symbol',\n",
    "            '开盘': 'open',\n",
    "            '收盘': 'close',\n",
    "            '最高': 'high',\n",
    "            '最低': 'low',\n",
    "            '成交量': 'volume',\n",
    "            '成交额': 'turnover',\n",
    "            '振幅': 'amplitude',\n",
    "            '涨跌幅': 'change_percent',\n",
    "            '涨跌额': 'change',\n",
    "            '换手率': 'turnover_rate'\n",
    "        }\n",
    "        stock_a_daily_df = column_name_mapping(stock_a_daily_df, column_mapping)\n",
    "        stock_a_daily_df[\"date\"] = pd.to_datetime(stock_a_daily_df[\"date\"])\n",
    "        stock_a_daily_df.set_index(\"date\", inplace=True,drop=True)\n",
    "        return stock_a_daily_df\n",
    "    except Exception as e:\n",
    "        print(f\"获取股票日线数据失败：{e}\")\n",
    "        return pd.DataFrame()\n",
    "    \n",
    "def get_stock_info(symbol: str) -> pd.DataFrame:\n",
    "    try:\n",
    "        stock_info_df = ak.stock_individual_info_em(symbol)\n",
    "        column_mapping = {\n",
    "            '总市值': 'total_market_cap',\n",
    "            '流通市值': 'circulating_market_cap',\n",
    "            '行业': 'industry',\n",
    "            '上市时间': 'listing_time',\n",
    "            '股票代码': 'stock_code',\n",
    "            '股票简称': 'stock_name',\n",
    "            '总股本': 'total_shares',\n",
    "            '流通股': 'circulating_shares'\n",
    "        }\n",
    "        stock_info_df = column_name_mapping(stock_info_df, column_mapping)\n",
    "        return stock_info_df\n",
    "    except Exception as e:\n",
    "        print(f\"获取股票信息失败：{e}\")\n",
    "        return pd.DataFrame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = get_index_cons()\n",
    "df.head(5)\n",
    "df= df[0:30]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>000001</th>\n",
       "      <th>000002</th>\n",
       "      <th>000063</th>\n",
       "      <th>000100</th>\n",
       "      <th>000157</th>\n",
       "      <th>000166</th>\n",
       "      <th>000301</th>\n",
       "      <th>000333</th>\n",
       "      <th>000338</th>\n",
       "      <th>000408</th>\n",
       "      <th>...</th>\n",
       "      <th>000733</th>\n",
       "      <th>000768</th>\n",
       "      <th>000776</th>\n",
       "      <th>000786</th>\n",
       "      <th>000792</th>\n",
       "      <th>000800</th>\n",
       "      <th>000807</th>\n",
       "      <th>000858</th>\n",
       "      <th>000876</th>\n",
       "      <th>000895</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>16.02</td>\n",
       "      <td>14.91</td>\n",
       "      <td>19.01</td>\n",
       "      <td>4.03</td>\n",
       "      <td>7.13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.21</td>\n",
       "      <td>29.88</td>\n",
       "      <td>29.18</td>\n",
       "      <td>10.28</td>\n",
       "      <td>...</td>\n",
       "      <td>13.95</td>\n",
       "      <td>19.33</td>\n",
       "      <td>26.06</td>\n",
       "      <td>26.58</td>\n",
       "      <td>23.48</td>\n",
       "      <td>15.96</td>\n",
       "      <td>5.90</td>\n",
       "      <td>23.65</td>\n",
       "      <td>14.60</td>\n",
       "      <td>32.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>15.78</td>\n",
       "      <td>14.36</td>\n",
       "      <td>20.11</td>\n",
       "      <td>4.15</td>\n",
       "      <td>6.95</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.11</td>\n",
       "      <td>31.71</td>\n",
       "      <td>29.95</td>\n",
       "      <td>10.29</td>\n",
       "      <td>...</td>\n",
       "      <td>14.62</td>\n",
       "      <td>21.26</td>\n",
       "      <td>26.91</td>\n",
       "      <td>26.64</td>\n",
       "      <td>23.52</td>\n",
       "      <td>16.95</td>\n",
       "      <td>5.86</td>\n",
       "      <td>23.76</td>\n",
       "      <td>14.73</td>\n",
       "      <td>33.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>15.48</td>\n",
       "      <td>14.23</td>\n",
       "      <td>19.71</td>\n",
       "      <td>4.17</td>\n",
       "      <td>7.05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.13</td>\n",
       "      <td>31.65</td>\n",
       "      <td>29.88</td>\n",
       "      <td>10.76</td>\n",
       "      <td>...</td>\n",
       "      <td>14.30</td>\n",
       "      <td>20.70</td>\n",
       "      <td>27.50</td>\n",
       "      <td>26.08</td>\n",
       "      <td>24.23</td>\n",
       "      <td>17.03</td>\n",
       "      <td>6.26</td>\n",
       "      <td>23.48</td>\n",
       "      <td>14.65</td>\n",
       "      <td>34.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-08</th>\n",
       "      <td>14.96</td>\n",
       "      <td>13.59</td>\n",
       "      <td>19.99</td>\n",
       "      <td>4.04</td>\n",
       "      <td>6.80</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.88</td>\n",
       "      <td>32.10</td>\n",
       "      <td>28.92</td>\n",
       "      <td>10.88</td>\n",
       "      <td>...</td>\n",
       "      <td>14.23</td>\n",
       "      <td>21.55</td>\n",
       "      <td>26.23</td>\n",
       "      <td>25.39</td>\n",
       "      <td>23.75</td>\n",
       "      <td>16.97</td>\n",
       "      <td>6.26</td>\n",
       "      <td>23.93</td>\n",
       "      <td>14.81</td>\n",
       "      <td>33.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-09</th>\n",
       "      <td>15.08</td>\n",
       "      <td>13.45</td>\n",
       "      <td>19.55</td>\n",
       "      <td>4.00</td>\n",
       "      <td>6.71</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.87</td>\n",
       "      <td>31.11</td>\n",
       "      <td>28.67</td>\n",
       "      <td>10.82</td>\n",
       "      <td>...</td>\n",
       "      <td>14.19</td>\n",
       "      <td>20.70</td>\n",
       "      <td>25.90</td>\n",
       "      <td>25.15</td>\n",
       "      <td>23.20</td>\n",
       "      <td>16.97</td>\n",
       "      <td>6.21</td>\n",
       "      <td>23.72</td>\n",
       "      <td>14.60</td>\n",
       "      <td>32.88</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            000001  000002  000063  000100  000157  000166  000301  000333  \\\n",
       "date                                                                         \n",
       "2015-01-05   16.02   14.91   19.01    4.03    7.13     NaN    5.21   29.88   \n",
       "2015-01-06   15.78   14.36   20.11    4.15    6.95     NaN    5.11   31.71   \n",
       "2015-01-07   15.48   14.23   19.71    4.17    7.05     NaN    5.13   31.65   \n",
       "2015-01-08   14.96   13.59   19.99    4.04    6.80     NaN    4.88   32.10   \n",
       "2015-01-09   15.08   13.45   19.55    4.00    6.71     NaN    4.87   31.11   \n",
       "\n",
       "            000338  000408  ...  000733  000768  000776  000786  000792  \\\n",
       "date                        ...                                           \n",
       "2015-01-05   29.18   10.28  ...   13.95   19.33   26.06   26.58   23.48   \n",
       "2015-01-06   29.95   10.29  ...   14.62   21.26   26.91   26.64   23.52   \n",
       "2015-01-07   29.88   10.76  ...   14.30   20.70   27.50   26.08   24.23   \n",
       "2015-01-08   28.92   10.88  ...   14.23   21.55   26.23   25.39   23.75   \n",
       "2015-01-09   28.67   10.82  ...   14.19   20.70   25.90   25.15   23.20   \n",
       "\n",
       "            000800  000807  000858  000876  000895  \n",
       "date                                                \n",
       "2015-01-05   15.96    5.90   23.65   14.60   32.72  \n",
       "2015-01-06   16.95    5.86   23.76   14.73   33.97  \n",
       "2015-01-07   17.03    6.26   23.48   14.65   34.14  \n",
       "2015-01-08   16.97    6.26   23.93   14.81   33.64  \n",
       "2015-01-09   16.97    6.21   23.72   14.60   32.88  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.DataFrame()\n",
    "for idx,row in df.iterrows():\n",
    "    start = datetime(2015,1,1)\n",
    "    end = datetime.now() - timedelta(days=1)\n",
    "    tmp = get_stock_a_hist(row['成分券代码'],start,end)\n",
    "    tmp = tmp[[\"close\"]]\n",
    "    tmp.rename(columns={\"close\":row['成分券代码']},inplace=True)\n",
    "    data = pd.concat([data,tmp],axis=1,join=\"outer\",ignore_index=False)\n",
    "    \n",
    "data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.to_csv('data.csv', index=True, header=True, sep=',', mode='w', encoding='utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>000001</th>\n",
       "      <th>000002</th>\n",
       "      <th>000063</th>\n",
       "      <th>000100</th>\n",
       "      <th>000157</th>\n",
       "      <th>000166</th>\n",
       "      <th>000301</th>\n",
       "      <th>000333</th>\n",
       "      <th>000338</th>\n",
       "      <th>000408</th>\n",
       "      <th>...</th>\n",
       "      <th>000733</th>\n",
       "      <th>000768</th>\n",
       "      <th>000776</th>\n",
       "      <th>000786</th>\n",
       "      <th>000792</th>\n",
       "      <th>000800</th>\n",
       "      <th>000807</th>\n",
       "      <th>000858</th>\n",
       "      <th>000876</th>\n",
       "      <th>000895</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-26</th>\n",
       "      <td>14.34</td>\n",
       "      <td>13.70</td>\n",
       "      <td>20.38</td>\n",
       "      <td>3.91</td>\n",
       "      <td>6.27</td>\n",
       "      <td>19.65</td>\n",
       "      <td>4.79</td>\n",
       "      <td>30.80</td>\n",
       "      <td>27.50</td>\n",
       "      <td>11.90</td>\n",
       "      <td>...</td>\n",
       "      <td>17.24</td>\n",
       "      <td>26.29</td>\n",
       "      <td>23.50</td>\n",
       "      <td>26.26</td>\n",
       "      <td>23.80</td>\n",
       "      <td>16.74</td>\n",
       "      <td>6.75</td>\n",
       "      <td>22.69</td>\n",
       "      <td>15.55</td>\n",
       "      <td>33.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-27</th>\n",
       "      <td>13.99</td>\n",
       "      <td>13.18</td>\n",
       "      <td>20.09</td>\n",
       "      <td>3.97</td>\n",
       "      <td>6.35</td>\n",
       "      <td>17.73</td>\n",
       "      <td>4.92</td>\n",
       "      <td>30.85</td>\n",
       "      <td>27.36</td>\n",
       "      <td>12.71</td>\n",
       "      <td>...</td>\n",
       "      <td>17.58</td>\n",
       "      <td>26.58</td>\n",
       "      <td>23.15</td>\n",
       "      <td>26.69</td>\n",
       "      <td>23.77</td>\n",
       "      <td>17.91</td>\n",
       "      <td>6.73</td>\n",
       "      <td>23.03</td>\n",
       "      <td>15.75</td>\n",
       "      <td>33.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-28</th>\n",
       "      <td>14.06</td>\n",
       "      <td>13.00</td>\n",
       "      <td>19.68</td>\n",
       "      <td>3.89</td>\n",
       "      <td>6.22</td>\n",
       "      <td>17.17</td>\n",
       "      <td>4.86</td>\n",
       "      <td>30.38</td>\n",
       "      <td>26.84</td>\n",
       "      <td>12.55</td>\n",
       "      <td>...</td>\n",
       "      <td>17.40</td>\n",
       "      <td>25.00</td>\n",
       "      <td>23.00</td>\n",
       "      <td>25.93</td>\n",
       "      <td>23.40</td>\n",
       "      <td>17.73</td>\n",
       "      <td>6.58</td>\n",
       "      <td>22.70</td>\n",
       "      <td>15.94</td>\n",
       "      <td>33.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-29</th>\n",
       "      <td>13.90</td>\n",
       "      <td>13.01</td>\n",
       "      <td>19.32</td>\n",
       "      <td>3.82</td>\n",
       "      <td>6.13</td>\n",
       "      <td>17.60</td>\n",
       "      <td>4.79</td>\n",
       "      <td>29.90</td>\n",
       "      <td>26.25</td>\n",
       "      <td>12.40</td>\n",
       "      <td>...</td>\n",
       "      <td>17.03</td>\n",
       "      <td>24.98</td>\n",
       "      <td>22.31</td>\n",
       "      <td>25.27</td>\n",
       "      <td>25.74</td>\n",
       "      <td>17.60</td>\n",
       "      <td>6.53</td>\n",
       "      <td>22.23</td>\n",
       "      <td>15.43</td>\n",
       "      <td>32.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-30</th>\n",
       "      <td>13.93</td>\n",
       "      <td>13.12</td>\n",
       "      <td>19.18</td>\n",
       "      <td>3.89</td>\n",
       "      <td>6.12</td>\n",
       "      <td>16.85</td>\n",
       "      <td>4.83</td>\n",
       "      <td>30.03</td>\n",
       "      <td>26.24</td>\n",
       "      <td>12.03</td>\n",
       "      <td>...</td>\n",
       "      <td>16.48</td>\n",
       "      <td>24.60</td>\n",
       "      <td>21.90</td>\n",
       "      <td>25.11</td>\n",
       "      <td>26.88</td>\n",
       "      <td>17.78</td>\n",
       "      <td>6.32</td>\n",
       "      <td>22.20</td>\n",
       "      <td>15.25</td>\n",
       "      <td>32.40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            000001  000002  000063  000100  000157  000166  000301  000333  \\\n",
       "date                                                                         \n",
       "2015-01-26   14.34   13.70   20.38    3.91    6.27   19.65    4.79   30.80   \n",
       "2015-01-27   13.99   13.18   20.09    3.97    6.35   17.73    4.92   30.85   \n",
       "2015-01-28   14.06   13.00   19.68    3.89    6.22   17.17    4.86   30.38   \n",
       "2015-01-29   13.90   13.01   19.32    3.82    6.13   17.60    4.79   29.90   \n",
       "2015-01-30   13.93   13.12   19.18    3.89    6.12   16.85    4.83   30.03   \n",
       "\n",
       "            000338  000408  ...  000733  000768  000776  000786  000792  \\\n",
       "date                        ...                                           \n",
       "2015-01-26   27.50   11.90  ...   17.24   26.29   23.50   26.26   23.80   \n",
       "2015-01-27   27.36   12.71  ...   17.58   26.58   23.15   26.69   23.77   \n",
       "2015-01-28   26.84   12.55  ...   17.40   25.00   23.00   25.93   23.40   \n",
       "2015-01-29   26.25   12.40  ...   17.03   24.98   22.31   25.27   25.74   \n",
       "2015-01-30   26.24   12.03  ...   16.48   24.60   21.90   25.11   26.88   \n",
       "\n",
       "            000800  000807  000858  000876  000895  \n",
       "date                                                \n",
       "2015-01-26   16.74    6.75   22.69   15.55   33.75  \n",
       "2015-01-27   17.91    6.73   23.03   15.75   33.26  \n",
       "2015-01-28   17.73    6.58   22.70   15.94   33.15  \n",
       "2015-01-29   17.60    6.53   22.23   15.43   32.59  \n",
       "2015-01-30   17.78    6.32   22.20   15.25   32.40  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import statistics\n",
    "import seaborn as sns\n",
    "from pulp import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "assets = [\"AAPL\", \"MSFT\",\"AMZN\",\"GOOGL\",\"FB\",\"TSLA\",\"V\",\"IXIC\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "initial_date = \"2016-04-20\"\n",
    "today = datetime.today().strftime('%Y-%m-%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1220x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.figure(figsize=(12.2,4.5)) \n",
    "for i in df.columns.values:\n",
    "    plt.plot( df[i],  label=i)\n",
    "plt.title('Price of the Stocks')\n",
    "plt.xlabel('Date',fontsize=18)\n",
    "plt.ylabel('Price in USD',fontsize=18)\n",
    "plt.legend(df.columns.values, loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = np.log(df).diff()\n",
    "df = df.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1220x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12.2,4.5)) \n",
    "for i in df.columns.values:\n",
    "    plt.hist( df[i],  label=i, bins = 200)\n",
    "plt.title('Returns Histogram')\n",
    "plt.xlabel('Fecha',fontsize=18)\n",
    "plt.ylabel('Precio en USD',fontsize=18)\n",
    "plt.legend(df.columns.values)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "pip install PyPortfolioOpt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_assets =  df.loc[:, df.columns != '000001']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_benchmark1 =  df.loc[:, df.columns == '000001']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "000002   -0.027032\n",
       "000063   -0.123590\n",
       "000100   -0.107163\n",
       "000157   -0.080398\n",
       "000166   -0.100918\n",
       "000301   -0.139289\n",
       "000333   -0.071618\n",
       "000338   -0.117950\n",
       "000408   -0.149753\n",
       "000425   -0.136738\n",
       "000538   -0.015206\n",
       "000568   -0.076705\n",
       "000596   -0.022495\n",
       "000617    0.030264\n",
       "000625   -0.108300\n",
       "000651   -0.068449\n",
       "000661    0.018711\n",
       "000708   -0.018138\n",
       "000725   -0.094827\n",
       "000733   -0.133712\n",
       "000768   -0.072450\n",
       "000776   -0.097219\n",
       "000786   -0.159279\n",
       "000792   -0.147506\n",
       "000800   -0.093195\n",
       "000807   -0.175970\n",
       "000858   -0.052869\n",
       "000876   -0.022205\n",
       "000895   -0.031127\n",
       "Name: mkt, dtype: float64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pypfopt import expected_returns\n",
    "retornos1 = expected_returns.capm_return(df_assets,\n",
    "                                         market_prices = df_benchmark1, \n",
    "                                         returns_data= True, \n",
    "                                         risk_free_rate=0.07/100, \n",
    "                                         frequency=252)\n",
    "retornos1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_activos =pd.DataFrame(retornos1)\n",
    "df_cov = df_activos.cov() * 252"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1.])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The function give us the equal weights for all assets:\n",
    "def pesosPortafolio(dataframe):\n",
    "    array = []\n",
    "    for i in dataframe.columns:\n",
    "        array.append(1/len(dataframe.columns))\n",
    "    arrayFinal = np.array(array)\n",
    "    return arrayFinal\n",
    "# Pesos are the resulting weights\n",
    "pesos = pesosPortafolio(df_activos)\n",
    "pesos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'The variance of the portfolio is: 5.5%'"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Portfolio Variance:\n",
    "varianza_portafolio = pesos.T @ df_cov @pesos\n",
    "\"The variance of the portfolio is:\" + \" \" + str(round(varianza_portafolio*100,1))+\"%\"\n",
    "#Result:\n",
    "'The variance of the portfolio is: 5.5%'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'The volatility of the portfolio is: 23.5%'"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Portfolio Volatility\n",
    "volatilidad_portafolio = np.sqrt(varianza_portafolio)\n",
    "\"The volatility of the portfolio is:\" + \" \" + str(round(volatilidad_portafolio*100,1))+\"%\"#Result:\n",
    "'The volatility of the portfolio is: 23.5%'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'The expected annual return of the portfolio is: -239.512%'"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Expected return of the portfolio\n",
    "retorno_portafolio = np.sum(pesos*retornos1)\n",
    "'The expected annual return of the portfolio is:' + ' ' + str(round(retorno_portafolio*100,3)) + '%'\n",
    "# Result: \n",
    "#'The expected annual return of the portfolio is: 18.723%'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mkt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>000002</th>\n",
       "      <td>-0.027032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000063</th>\n",
       "      <td>-0.123590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000100</th>\n",
       "      <td>-0.107163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000157</th>\n",
       "      <td>-0.080398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000166</th>\n",
       "      <td>-0.100918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000301</th>\n",
       "      <td>-0.139289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000333</th>\n",
       "      <td>-0.071618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000338</th>\n",
       "      <td>-0.117950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000408</th>\n",
       "      <td>-0.149753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000425</th>\n",
       "      <td>-0.136738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000538</th>\n",
       "      <td>-0.015206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000568</th>\n",
       "      <td>-0.076705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000596</th>\n",
       "      <td>-0.022495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000617</th>\n",
       "      <td>0.030264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000625</th>\n",
       "      <td>-0.108300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000651</th>\n",
       "      <td>-0.068449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000661</th>\n",
       "      <td>0.018711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000708</th>\n",
       "      <td>-0.018138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000725</th>\n",
       "      <td>-0.094827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000733</th>\n",
       "      <td>-0.133712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000768</th>\n",
       "      <td>-0.072450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000776</th>\n",
       "      <td>-0.097219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000786</th>\n",
       "      <td>-0.159279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000792</th>\n",
       "      <td>-0.147506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000800</th>\n",
       "      <td>-0.093195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000807</th>\n",
       "      <td>-0.175970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000858</th>\n",
       "      <td>-0.052869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000876</th>\n",
       "      <td>-0.022205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000895</th>\n",
       "      <td>-0.031127</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             mkt\n",
       "000002 -0.027032\n",
       "000063 -0.123590\n",
       "000100 -0.107163\n",
       "000157 -0.080398\n",
       "000166 -0.100918\n",
       "000301 -0.139289\n",
       "000333 -0.071618\n",
       "000338 -0.117950\n",
       "000408 -0.149753\n",
       "000425 -0.136738\n",
       "000538 -0.015206\n",
       "000568 -0.076705\n",
       "000596 -0.022495\n",
       "000617  0.030264\n",
       "000625 -0.108300\n",
       "000651 -0.068449\n",
       "000661  0.018711\n",
       "000708 -0.018138\n",
       "000725 -0.094827\n",
       "000733 -0.133712\n",
       "000768 -0.072450\n",
       "000776 -0.097219\n",
       "000786 -0.159279\n",
       "000792 -0.147506\n",
       "000800 -0.093195\n",
       "000807 -0.175970\n",
       "000858 -0.052869\n",
       "000876 -0.022205\n",
       "000895 -0.031127"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_activos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "expected_returns is not a series, list or array",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[34], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpypfopt\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m EfficientFrontier\n\u001b[1;32m----> 2\u001b[0m ef \u001b[38;5;241m=\u001b[39m \u001b[43mEfficientFrontier\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdf_cov\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mweight_bounds\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m      3\u001b[0m weights \u001b[38;5;241m=\u001b[39m ef\u001b[38;5;241m.\u001b[39mmin_volatility() \n\u001b[0;32m      4\u001b[0m cleaned_weights \u001b[38;5;241m=\u001b[39m ef\u001b[38;5;241m.\u001b[39mclean_weights() \n",
      "File \u001b[1;32mc:\\Users\\Dev\\.conda\\envs\\4broker\\Lib\\site-packages\\pypfopt\\efficient_frontier\\efficient_frontier.py:86\u001b[0m, in \u001b[0;36mEfficientFrontier.__init__\u001b[1;34m(self, expected_returns, cov_matrix, weight_bounds, solver, verbose, solver_options)\u001b[0m\n\u001b[0;32m     84\u001b[0m \u001b[38;5;66;03m# Inputs\u001b[39;00m\n\u001b[0;32m     85\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcov_matrix \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_validate_cov_matrix(cov_matrix)\n\u001b[1;32m---> 86\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mexpected_returns \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_expected_returns\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexpected_returns\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m     87\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_max_return_value \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m     88\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_market_neutral \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
      "File \u001b[1;32mc:\\Users\\Dev\\.conda\\envs\\4broker\\Lib\\site-packages\\pypfopt\\efficient_frontier\\efficient_frontier.py:127\u001b[0m, in \u001b[0;36mEfficientFrontier._validate_expected_returns\u001b[1;34m(expected_returns)\u001b[0m\n\u001b[0;32m    125\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m expected_returns\u001b[38;5;241m.\u001b[39mravel()\n\u001b[0;32m    126\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 127\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mexpected_returns is not a series, list or array\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "\u001b[1;31mTypeError\u001b[0m: expected_returns is not a series, list or array"
     ]
    }
   ],
   "source": [
    "from pypfopt import EfficientFrontier\n",
    "ef = EfficientFrontier(df_activos, df_cov, weight_bounds=(-1,1))\n",
    "weights = ef.min_volatility() \n",
    "cleaned_weights = ef.clean_weights() \n",
    "print(cleaned_weights) \n",
    "ef.portfolio_performance(verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ef = EfficientFrontier(retornos1, df_cov,weight_bounds=(0,1))\n",
    "weights = ef.max_sharpe() \n",
    "cleaned_weights = ef.clean_weights() \n",
    "print(cleaned_weights) \n",
    "ef.portfolio_performance(verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "from pypfopt.discrete_allocation import DiscreteAllocation, get_latest_prices\n",
    "latest_prices = get_latest_prices(df_activos)\n",
    "pesos = cleaned_weights \n",
    "da = DiscreteAllocation(pesos, latest_prices, total_portfolio_value=10.000)\n",
    "allocation, leftover = da.lp_portfolio()\n",
    "print(\"Quantities of Stock To buy:\", allocation)\n",
    "print(\"Money leftover: ${:.2f}\".format(leftover))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "correlation_mat = df.corr()\n",
    "plt.figure(figsize=(12.2,4.5))\n",
    "sns.heatmap(correlation_mat, annot = True)\n",
    "plt.title('Matriz de Correlación')\n",
    "plt.xlabel('Activos',fontsize=18)\n",
    "plt.ylabel('Activos',fontsize=18)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "tf",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
